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20212026
most citedModel-Driven End-to-End Learning for Integrated Sensing and Communication

5 citations · 7 across the 8 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

eess.SP2023

Semi-Supervised End-to-End Learning for Integrated Sensing and Communications

José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger +3

Integrated sensing and communications (ISAC) is envisioned as one of the key enablers of next-generation wireless systems, offering improved hardware, spectral, and energy efficien…

eess.SP2023★ 2 cited

Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication under Hardware Impairments

José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin +2

We study model-based end-to-end learning in the context of integrated sensing and communication (ISAC) under hardware impairments. Hardware impairments are usually addressed by mea…